With generative artificial intelligence (GenAI), particularly large language models (LLMs),
continuing to make inroads in healthcare, assessing LLMs with human evaluations is …

Background The introduction of large language models (LLMs) into clinical practice
promises to improve patient education and empowerment, thereby personalizing medical …

This study explores disparities and opportunities in healthcare information provided by AI
chatbots. We focused on recommendations for adjuvant therapy in endometrial cancer …

The paper presents the most comprehensive and large-scale global study to date on how
higher education students perceived the use of ChatGPT in early 2024. With a sample of …

Introduction Large Language Models (LLMs) are sophisticated algorithms that analyze and
generate vast amounts of textual data, mimicking human communication. Notable LLMs …

Background Patient complaints are a perennial challenge faced by health care institutions
globally, requiring extensive time and effort from health care workers. Despite these efforts …

Purpose The purpose of this study was to systematically review the reported performances
of ChatGPT, identify potential limitations, and explore future directions for its integration …

In this paper, we present a novel Artificial Intelligence (AI)-empowered system that enhances
large language models and other machine learning tools with rules to provide primary care …

Background The emergence of artificial intelligence (AI) has allowed users to have access to
large sources of information in a chat-like manner. Thereby, we sought to evaluate ChatGPT …

Objective This study investigated the ability of Large Language Models (LLMs) to provide
accurate and consistent answers by focusing on their performance in complex gynecologic …